HEAR Higher Ed Analytics: 10-Wk Implementation

Spyglass MTG, LLC

Higher Education Analytics Reporting (HEAR) 10-week implementation to help lower student dropouts and increase engagement rates

With HEAR, Spyglass can help Higher Education institutions implement analytics reporting systems built on Azure Synapse Analytics to aid in better understanding the overall engagement & learning patterns of students. We can seamlessly integrate with many learning management systems, like Blackboard or Nexus LMS, so that you can continue to utilize your current systems while receiving the analytics you need. Our approach deploys a secure modern production Azure analytics environment, leveraging Azure Well-Architected and the Cloud Adoption Framework. Our solution follows the best practices to deploy a data platform leveraging an “enterprise landing zone” & analytical workload which we adopted & deploy via an Azure Blueprint. We leverage our Azure Blueprint Solutions Accelerator for Analytics (Dpi30+Analaytics JumpStart) to implement the spoke workload & integrate with the IT hub services. Our complete package includes a toolkit for Synapse that assists with cost optimization, performance efficiency for workload & scale management as well as a standard DevOps package for project & release management. AGENDA- STAGE 1: Initiation (Wk 1)- Technical Discovery & Planning STAGE 2: Planning & Design (Wk 2-3)- Data Architecture Design, Total Cost of Ownership Azure Analysis, Requirements, Dashboard Design, Platform & Blueprint Planning STAGE 3: Execution (Wk 4-8)- Synapse & Blueprint Deployment, Deployment of Data Integration Pipelines, Cost Automation Pipeline, Advanced Analytics Pipelines, Power BI Reporting Model. STAGE 4: Adoption (Wk 9)- UAT Testing, Technical KT & User Sessions. STAGE 5: Closure (Wk 10)- Final Project Review & Sign Off DELIVERABLES- Data Architecture Diagrams, TCO Hosting Analysis - Azure, Requirements Document, Blueprint Modern Data Platform (Synapse) Deployment of Data Integration, Cost Automation, Advanced Analytics Pipelines; Power BI Reporting Model, Source Code, Documentation. Final pricing contingent on complexity & timeline.